Astronomy and Astrophysics – Astronomy
Scientific paper
Aug 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990stin...9113381b&link_type=abstract
Presented at the Workshop on Restoration of HST Images and Spectra, Baltimore, MD, 21-22 Aug. 1990
Astronomy and Astrophysics
Astronomy
Data Processing, Galaxies, Imaging Techniques, Least Squares Method, Maximum Entropy Method, Spatial Resolution, Surveys, Diffraction, Infrared Astronomy Satellite, Nonuniformity, Signal To Noise Ratios
Scientific paper
The IRAS survey data can be used successfully to produce images of extended objects. The major difficulty, viz. non-uniform sampling, different response functions for each detector, and varying signal-to-noise levels for each detector for each scan, were resolved. The results of three different image construction techniques are compared: co-addition, constrained least squares, and maximum entropy. The maximum entropy result is superior. An image of the galaxy M51 with an average spatial resolution of 45 arc seconds, is presented using 60 micron survey data. This exceeds the telescope diffraction limit of 1 minute of arc, at this wavelength. Data fusion is a proposed method for combining data from different instruments, with different spatial resolutions, at different wavelengths. Direct estimates of the physical parameters, temperature, density and composition, can be made from the data without prior images (re-)construction. An increase in the accuracy of these parameters is expected as the result of this more systematic approach.
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